


def 	__lowerCamelCase						(							lowerCamelCase__		:						Dict      ):





			'''simple docstring'''




			lowerCamelCase    		=  []
			lowerCamelCase    		=  []
			lowerCamelCase    		=  {
			    """^""": 3,
			    """*""": 2,
			    """/""": 2,
			    """%""": 2,
			    """+""": 1,
			    """-""": 1,
			}  # Priority of each operator
			lowerCamelCase    		=  len(lowerCamelCase__      ) if (len(lowerCamelCase__      ) > 7) else 7

			# Print table header for output
			print(
			    """Symbol""".center(8      )  ,							"""Stack""".center(lowerCamelCase__      )  ,							"""Postfix""".center(lowerCamelCase__      )  ,							sep=""" | """  ,							)
			print("""-""" * (print_width * 3 + 7)      )

			for x in infix:
						if x.isalpha() or x.isdigit():
									post_fix.append(lowerCamelCase__      )  # if x is Alphabet / Digit, add it to Postfix
						elif x == "(":
									stack.append(lowerCamelCase__      )  # if x is "(" push to Stack
						elif x == ")":  # if x is ")" pop stack until "(" is encountered
									while stack[-1] != "(":
												post_fix.append(stack.pop()      )  # Pop stack & add the content to Postfix
									stack.pop()
						else:
									if len(lowerCamelCase__      ) == 0:
												stack.append(lowerCamelCase__      )  # If stack is empty, push x to stack
									else:  # while priority of x is not > priority of element in the stack
												while len(lowerCamelCase__      ) > 0 and priority[x] <= priority[stack[-1]]:
															post_fix.append(stack.pop()      )  # pop stack & add to Postfix
												stack.append(lowerCamelCase__      )  # push x to stack

						print(
						    x.center(8      )  ,							("""""".join(lowerCamelCase__      )).ljust(lowerCamelCase__      )  ,							("""""".join(lowerCamelCase__      )).ljust(lowerCamelCase__      )  ,							sep=""" | """  ,							)  # Output in tabular format

			while len(lowerCamelCase__      ) > 0:  # while stack is not empty
						post_fix.append(stack.pop()      )  # pop stack & add to Postfix
						print(
						    """ """.center(8      )  ,							("""""".join(lowerCamelCase__      )).ljust(lowerCamelCase__      )  ,							("""""".join(lowerCamelCase__      )).ljust(lowerCamelCase__      )  ,							sep=""" | """  ,							)  # Output in tabular format

			return "".join(lowerCamelCase__      )  # return Postfix as str






def 	__lowerCamelCase						(							lowerCamelCase__		:						Optional[int]      ):





			'''simple docstring'''




			lowerCamelCase    		=  list(infix[::-1]      )  # reverse the infix equation

			for i in range(len(lowerCamelCase__      )      ):
						if infix[i] == "(":
									lowerCamelCase    		=  """)"""  # change "(" to ")"
						elif infix[i] == ")":
									lowerCamelCase    		=  """("""  # change ")" to "("

			return (infix_2_postfix("""""".join(lowerCamelCase__      )      ))[
			    ::-1
			]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
		UpperCAmelCase   :    List[Any]     =		input("\nEnter an Infix Equation = ")  # Input an Infix equation
		UpperCAmelCase   :    Tuple     =		"".join(Infix.split())  # Remove spaces from the input
		print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")








"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =  {
    "facebook/s2t-wav2vec2-large-en-de": (
        "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json"
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = 'speech_to_text_2'
      _SCREAMING_SNAKE_CASE							      = ['past_key_values']
      _SCREAMING_SNAKE_CASE							      = {'num_attention_heads': 'decoder_attention_heads', 'hidden_size': 'd_model'}





      def __init__(			self ,		lowercase=10_000 ,		lowercase=6 ,		lowercase=2_048 ,		lowercase=4 ,		lowercase=0.0 ,		lowercase=True ,		lowercase="relu" ,		lowercase=256 ,		lowercase=0.1 ,		lowercase=0.0 ,		lowercase=0.0 ,		lowercase=0.02 ,		lowercase=2 ,		lowercase=True ,		lowercase=1 ,		lowercase=0 ,		lowercase=2 ,		lowercase=1_024 ,		**lowercase ,		)						->	Optional[int]:
            lowerCAmelCase    		=			vocab_size
            lowerCAmelCase    		=			d_model
            lowerCAmelCase    		=			decoder_ffn_dim
            lowerCAmelCase    		=			decoder_layers
            lowerCAmelCase    		=			decoder_attention_heads
            lowerCAmelCase    		=			dropout
            lowerCAmelCase    		=			attention_dropout
            lowerCAmelCase    		=			activation_dropout
            lowerCAmelCase    		=			activation_function
            lowerCAmelCase    		=			init_std
            lowerCAmelCase    		=			decoder_layerdrop
            lowerCAmelCase    		=			use_cache
            lowerCAmelCase    		=			decoder_layers
            lowerCAmelCase    		=			scale_embedding  # scale factor will be sqrt(d_model) if True
            lowerCAmelCase    		=			max_target_positions

            super().__init__(
                pad_token_id=lowercase ,		bos_token_id=lowercase ,		eos_token_id=lowercase ,		decoder_start_token_id=lowercase ,		**lowercase ,		)






